# Questions tagged [digital-signal-processing]

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### What are your favourite benchmarks for signal (pre-trading strategy) backtesting?

In some situations, e.g testing the value of individual signals to be built into an ensemble method, it can be a bit too early to implement trading logic for the strategy needed to do a standard ...
0answers
358 views

### Stock market cycles with Fourier Transform - amplitude vs. phase

There is this Wikipedia article on cycles in stock market data, which describes a 5-step process of finding dominant cycles in price data where step 2 reads: Step 2: Subsequently, a cycles engine ...
0answers
190 views

### Trading signal strength: [-1 to 1] or [predicted return]?

In the context of a backtesting engine, is it better to have strategy generate trade signals in the range from -1 to 1 or as exact predicted returns (e.g. -12% or 26%). The difference lies in how to ...
0answers
34 views

### Feedback on Video Metadata Extraction

I've developed/patented a metadata extraction methodology, which we've used to build a variety of alternative datasets for funds. One of the more difficult issues in this field, is getting useful ...
0answers
136 views

### Choosing Optimum Sampling Frequency

There was an interesting post made by Jonathan Kinlay where he discusses the use of a Fourier Transform to discover a potentially optimum bar frequency to choose as an input to a trading system. I am ...
0answers
139 views

### Scale of Market Quakes Computation

I would like to reproduce the results in the paper "The scale of market quakes", from T. Bisig, But I am getting stuck at the computation of the Fourier Coefficients in equation (4). They are defined ...
2answers
726 views

### What is the best way of updating data while using Empirical Mode Decomposition to analyze

I have a question about EMD updating new data points. For an entire time series, from beginning to the end, the EMD preforms quite good using the cubic spline function. The problem happens when new ...
1answer
82 views

### Proper way to combine wavelet coefficients from multiple rounds of analysis

I am doing signal analysis for a time series and the assumption of signal is S = F + e Where S is the original signal, F is the frequency component and e is white noise (auto-regressive time series ...
1answer
201 views

### interpreting huge jumps

i have been working on this trading system that uses digital filters to generate signals. the system works fine during normal market hours. but it goes haywire when there is news release. i have ...
1answer
843 views

### Practical Usage of Wavelets with Real Time Data

There are a lot of papers out there which make attempts to forecast or discuss the benefits of wavelets for frequency decomposition. Oddly, very few discuss the huge boundary effects that are present ...
2answers
1k views

### How to calculate optimal standard deviation bands for trading?

I am trading with standard deviation bands (6 bands) on de-trended data. How can I find the most profitable signals with neural network or GA with standard deviation bands? Should I first find the ...
8answers
27k views

### Digital Signal Processing in Trading

There is a concept of trading or observing the market with signal processing originally created by John Ehler. He wrote three books about it. Cybernetic Analysis for Stocks and Futures Rocket Science ...